A Compressed Suffix-Array Strategy for Temporal-Graph Indexing

  • Nieves R. Brisaboa
  • Diego Caro
  • Antonio Fariña
  • M. Andrea Rodríguez
Conference paper

DOI: 10.1007/978-3-319-11918-2_8

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8799)
Cite this paper as:
Brisaboa N.R., Caro D., Fariña A., Rodríguez M.A. (2014) A Compressed Suffix-Array Strategy for Temporal-Graph Indexing. In: Moura E., Crochemore M. (eds) String Processing and Information Retrieval. SPIRE 2014. Lecture Notes in Computer Science, vol 8799. Springer, Cham

Abstract

Temporal graphs represent vertexes and binary relations that change over time. In this paper we consider a temporal graph as a set of 4-tuples ( vs, ve, ts, te) indicating that an edge from a vertex vs to a vertex ve is active during the time interval [ts, te). Representing those tuples involves the challenge of not only saving space but also of efficient query processing. Queries of interest for these graphs are both direct and reverse neighbors constrained by a time instant or a time interval. We show how to adapt a Compressed Suffix Array (CSA) to represent temporal graphs. The proposed structure, called Temporal Graph CSA (TGCSA), was experimentally compared with a compact data structure based on compressed inverted lists, which can be considered as a fair baseline in the state of the art. Our experimental results are promising. TGCSA obtains a good space-time trade-off, owns wider expressive capabilities than other alternatives, obtains reasonable space usage, and it is efficient even when performing the most complex temporal queries.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Nieves R. Brisaboa
    • 2
  • Diego Caro
    • 1
  • Antonio Fariña
    • 2
  • M. Andrea Rodríguez
    • 1
  1. 1.Dept. Comp. Sci.University of ConcepciónChile
  2. 2.Database Lab.University of A CoruñaSpain

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